Jpmorgan Mid Cap Fund Market Value
| JPPEX Fund | USD 60.18 0.46 0.77% |
| Symbol | Jpmorgan |
Jpmorgan Mid 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Jpmorgan Mid's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Jpmorgan Mid.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Jpmorgan Mid on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Mid Cap or generate 0.0% return on investment in Jpmorgan Mid over 30 days. Jpmorgan Mid is related to or competes with Jpmorgan Small, Jpmorgan Intrepid, Jpmorgan Intrepid, and Jpmorgan International. Under normal circumstances, the fund invests at least 80 percent of its assets in equity securities of mid cap companies More
Jpmorgan Mid Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Jpmorgan Mid's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Jpmorgan Mid Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8495 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.0 | |||
| Value At Risk | (1.46) | |||
| Potential Upside | 1.24 |
Jpmorgan Mid Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Mid's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Mid's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Mid historical prices to predict the future Jpmorgan Mid's volatility.| Risk Adjusted Performance | 0.0642 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Mid's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Jpmorgan Mid Cap Backtested Returns
We consider Jpmorgan Mid very steady. Jpmorgan Mid Cap holds Efficiency (Sharpe) Ratio of 0.089, which attests that the entity had a 0.089% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Jpmorgan Mid Cap, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Mid's Mean Deviation of 0.5743, coefficient of variation of 983.82, and Risk Adjusted Performance of 0.0642 to validate if the risk estimate we provide is consistent with the expected return of 0.0659%. The fund retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Jpmorgan Mid are completely uncorrelated.
Auto-correlation | 0.42 |
Average predictability
Jpmorgan Mid Cap has average predictability. Overlapping area represents the amount of predictability between Jpmorgan Mid time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Jpmorgan Mid Cap price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Jpmorgan Mid price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 1.49 |
Jpmorgan Mid Cap lagged returns against current returns
Autocorrelation, which is Jpmorgan Mid mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Jpmorgan Mid's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Mid returns to help us make a trade decision. For example, suppose you find that Jpmorgan Mid has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Jpmorgan Mid regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Jpmorgan Mid mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Mid mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jpmorgan Mid mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Mid Lagged Returns
When evaluating Jpmorgan Mid's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Mid mutual fund have on its future price. Jpmorgan Mid autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Jpmorgan Mid autocorrelation shows the relationship between Jpmorgan Mid mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Mid Cap.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Jpmorgan Mid in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Jpmorgan Mid's short interest history, or implied volatility extrapolated from Jpmorgan Mid options trading.
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Try AI Portfolio ArchitectCheck out Jpmorgan Mid Correlation, Jpmorgan Mid Volatility and Jpmorgan Mid Alpha and Beta module to complement your research on Jpmorgan Mid. Note that the Jpmorgan Mid Cap information on this page should be used as a complementary analysis to other Jpmorgan Mid's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Jpmorgan Mid technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.